Abstract
In this article we present a rule-based quality model for data centric workflows. The goal is to build a tool assisting workflow designers and users in annotating, exploring and improving the quality of data produced by complex media mining workflow executions. Our approach combines an existing fine-grained provenance generation approach [3] with a new quality assessment model for annotating XML fragments with data/application-specific quality values and inferring new values from existing annotations and provenance dependencies. We define the formal semantics using an appropriate fixpoint operator and illustrate how it can be implemented using standard Jena inference rules provided by current semantic web infrastructures.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Alrifai, M., Risse, T., Nejdl, W.: A hybrid approach for efficient web service composition with end-to-end qos constraints. ACM Trans. Web 6(2), 1–31 (2012)
Altintas, I., Berkley, C., Jaeger, E., Jones, M., Ludäscher, B., Mock, S.: Kepler: An extensible system for design and execution of scientific workflows. In: SSDBM, pp. 423–424 (2004)
Amann, B., Constantin, C., Caron, C., Giroux, P.: Weblab prov: computing fine-grained provenance links for xml artifacts. In: EDBT/ICDT Workshops, pp. 298–306 (2013)
Amsterdamer, Y., Davidson, S.B., Deutch, D., Milo, T., Stoyanovich, J., Tannen, V.: Putting lipstick on pig: enabling database-style workflow provenance. Proc. VLDB Endow. 5(4) (December 2011)
Anand, M.K., Bowers, S., McPhillips, T., Ludäscher, B.: Efficient provenance storage over nested data collections. In: EDBT, pp. 958–969 (2009)
Batini, C., Scannapieco, M.: Data quality: concepts, methodologies and techniques. Data-centric systems and applications. Springer (2006)
Benjelloun, O., Sarma, A.D., Halevy, A., Widom, J.: Uldbs: Databases with uncertainty and lineage. In: VLDB (2006)
Bowers, S., McPhillips, T., Ludäscher, B.: Declarative rules for inferring fine-grained data provenance from scientific workflow execution traces. In: Groth, P., Frew, J. (eds.) IPAW 2012. LNCS, vol. 7525, pp. 82–96. Springer, Heidelberg (2012)
Buneman, P., Khanna, S., Tan, W.C.: Why and where: A characterization of data provenance. In: Van den Bussche, J., Vianu, V. (eds.) ICDT 2001. LNCS, vol. 1973, pp. 316–330. Springer, Heidelberg (2000)
Callahan, S.P., Freire, J., Santos, E., Scheidegger, C.E., Silva, C.T., Vo, H.T.: Vistrails: visualization meets data management. In: SIGMOD, pp. 745–747 (2006)
Caron, C., Amann, B., Constantin, C., Giroux, P.: Wepige: The weblab provenance information generator and explorer. In: EDBT, pp. 664–667 (2014)
Cheng, R., Chen, J., Xie, X.: Cleaning uncertain data with quality guarantees. VLDB Endow. 1(1), 722–735 (2008)
Cui, Y., Widom, J.: Lineage tracing for general data warehouse transformations. The VLDB Journal 12(1), 41–58 (2003)
Davidson, S.B., Freire, J.: Provenance and scientific workflows: Challenges and opportunities. In: SIGMOD, pp. 1345–1350 (2008)
Dong, X.L., Berti-Equille, L., Srivastava, D.: Integrating conflicting data: The role of source dependence. Proc. VLDB Endow. 2(1), 550–561 (2009)
Fan, W.: Dependencies revisited for improving data quality. In: PODS, pp. 159–170 (2008)
Fan, W., Geerts, F.: Foundations of Data Quality Management. Morgan & Claypool Publishers (2012)
Foster, J.N., Green, T.J., Tannen, V.: Annotated xml: Queries and provenance. In: PODS, pp. 271–280 (2008)
Giroux, P., Brunessaux, S., Brunessaux, S., Doucy, J., Dupont, G., Grilhères, B., Mombrun, Y., Saval, A.: Weblab: An integration infrastructure to ease the development of multimedia processing applications. In: Int. Conf. ICSSEA (2008)
Hartig, O., Zhao, J.: Using web data provenance for quality assessment. In: Proc. of the Workshop on Semantic Web and Provenance Management at ISWC (2009)
Hull, D., Wolstencroft, K., Stevens, R., Goble, C., Pocock, M.R., Li, P., Oinn, T.: Taverna: a tool for building and running workflows of services. Nucleic Acids Research 34(Web Server issue), W729–W732 (2006)
Imieliński, T., Lipski Jr., W.: Incomplete information in relational databases. J. ACM 31(4), 761–791 (1984)
Karvounarakis, G., Green, T.J., Ives, Z.G., Tannen, V.: Collaborative data sharing via update exchange and provenance. ACM Trans. Database Syst. 38(3), 19:1–19:42 (2013)
Simmhan, Y., Plale, B.: Using provenance for personalized quality ranking of scientific datasets. I. J. Comput. Appl. 18(3), 180–195 (2011)
Yu, T., Zhang, Y., Lin, K.J.: Efficient algorithms for web services selection with end-to-end qos constraints. ACM Trans. Web 1 (May 2007)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Caron, C., Amann, B., Constantin, C., Giroux, P., Santanchè, A. (2014). Provenance-Based Quality Assessment and Inference in Data-Centric Workflow Executions. In: Meersman, R., et al. On the Move to Meaningful Internet Systems: OTM 2014 Conferences. OTM 2014. Lecture Notes in Computer Science, vol 8841. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45563-0_8
Download citation
DOI: https://doi.org/10.1007/978-3-662-45563-0_8
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-45562-3
Online ISBN: 978-3-662-45563-0
eBook Packages: Computer ScienceComputer Science (R0)